Paper Citation Record · LEDGER

On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2203.09168.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2203.09168 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:01:37.362255Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T06:29:37.378597Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a8598331-425e-4aea-8593-6f238a790b47 · inbound

Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks cites this paper.

Principled Input-Output-Conditioned Post-Hoc Uncertainty Estimation for Regression Networks On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T12:01:37.362255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f99613d1-2817-4566-b90d-f5a0bb46326d · inbound

Uncertainty-Driven Radar-Inertial Fusion for Instantaneous 3D Ego-Velocity Estimation cites this paper.

Uncertainty-Driven Radar-Inertial Fusion for Instantaneous 3D Ego-Velocity Estimation On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T00:24:20.250696Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c736b228-cf23-4f97-b7b3-4dd7a2390ad2 · inbound

Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy cites this paper.

Mapping intratumoral heterogeneity through PET-derived washout and deep learning after proton therapy On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-06T22:38:49.000385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80e0e365-2cc7-4269-af1e-7514071941a0 · inbound

Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration cites this paper.

Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-05T14:25:29.931810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77e3fac8-b668-4a08-a6f2-a15cf07b5f37 · inbound

Amplitude Uncertainties Everywhere All at Once cites this paper.

Amplitude Uncertainties Everywhere All at Once On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-18T19:21:46.944254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 71d85b8e-9b72-4e00-81e9-ca54b0868df2 · inbound

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering cites this paper.

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T22:10:21.538414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation add514de-5d7b-4c59-bb15-29f2cf71b0d3 · inbound

NeuroSymActive: Differentiable Neural-Symbolic Reasoning with Active Exploration for Knowledge Graph Question Answering cites this paper.

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-02T22:57:00.166501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cec4265-c29b-4a55-bbd6-3b95b916db91 · inbound

Monte Carlo PDE Solvers for Nonlinear Radiative Boundary Conditions cites this paper.

Monte Carlo PDE Solvers for Nonlinear Radiative Boundary Conditions On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 53

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:11:04.449276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6d8bea2d-0013-44b2-b7bd-611ef82a4c57 · inbound

Probabilistic denoising for reliable signal extraction in spectroscopy cites this paper.

Probabilistic denoising for reliable signal extraction in spectroscopy On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:10:53.982468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 322b164a-bd94-401e-92de-191aa70521bb · inbound

Variance-aware Reward Modeling with Anchor Guidance cites this paper.

Variance-aware Reward Modeling with Anchor Guidance On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:12:17.500924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 69634c95-911b-4386-ae1c-1c1d18d1c0f1 · inbound

From Pixels to Newtons: Predicting In Vivo Joint Contact Forces from Monocular Video cites this paper.

From Pixels to Newtons: Predicting In Vivo Joint Contact Forces from Monocular Video On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 47

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T12:26:56.768444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4b77e734-a11c-45f4-b48b-376f0b95c589 · inbound

A Multi-Agent System for Motor Design Optimization via an FEA-AI Hybrid Approach cites this paper.

A Multi-Agent System for Motor Design Optimization via an FEA-AI Hybrid Approach On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T00:57:30.659978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6e0af9d5-6c27-448f-b7fb-36d6e386df23 · inbound

A Multi-Agent System for Motor Design Optimization via an FEA-AI Hybrid Approach cites this paper.

A Multi-Agent System for Motor Design Optimization via an FEA-AI Hybrid Approach On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T02:14:46.033991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cde6212f-4600-429f-b55c-693c6e5a76f2 · inbound

Walking on Heat Stars for Parabolic Heat Equations with Neumann Boundary Conditions cites this paper.

Walking on Heat Stars for Parabolic Heat Equations with Neumann Boundary Conditions On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:34:37.619938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dcca9538-29d9-4162-95f2-ab4dc5a4ff44 · inbound

Embedding Linear Equality Constraints in Probabilistic Neural Networks for Dynamic Modelling cites this paper.

Embedding Linear Equality Constraints in Probabilistic Neural Networks for Dynamic Modelling On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-04T06:29:37.384473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a2ce9283-3567-4303-afba-bc911755c18b · inbound

Bridging Ab Initio Symmetries and Global Nuclear Masses with Interpretable Neural Networks cites this paper.

Bridging Ab Initio Symmetries and Global Nuclear Masses with Interpretable Neural Networks On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

Reference 67

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:35:59.136205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.